Algebra Caching Idea.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Algebra Caching Idea"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "For performance reasons is might be nice to have a set of cached algebras available to the user. These could be generated at install or manually after install, depending on the users needs. also the name `Layout` is annoying, i wish it were called `Algebra`"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "from clifford import Cl\n",
    "\n",
    "import pickle\n",
    "import os\n",
    "from os.path import join\n",
    "from types import ModuleType\n",
    "\n",
    "\n",
    "def generate_layouts(p_max=3, q_max=3, r_max=0,**kw):\n",
    "    #TODO: handle list of arbitrary  signatures,\n",
    "    layouts = {}\n",
    "\n",
    "    for p in range(p_max+1):\n",
    "        for q in range(q_max+1):\n",
    "            for r in range(r_max+1):\n",
    "                if p+q<=1:\n",
    "                    continue\n",
    "\n",
    "                key = 'g%i%i%i'%(p,q,r)\n",
    "                layouts[key],blades = Cl(p=p, q=q, **kw)\n",
    "    return layouts \n",
    "\n",
    "def write_layouts(layout_dict, tmp_dir='/tmp/clifford'):\n",
    "    try:\n",
    "        os.mkdir(tmp_dir)\n",
    "    except(FileExistsError):\n",
    "        pass\n",
    "    \n",
    "    for key in layouts:\n",
    "        with open(join(tmp_dir, key+'.p'),'wb') as f:\n",
    "            pickle.dump(layouts[key],f)\n",
    "            \n",
    "\n",
    "\n",
    "def read_layouts( tmp_dir='/tmp/clifford'):            \n",
    "    layouts = {}\n",
    "    for fname in os.listdir(tmp_dir):\n",
    "        \n",
    "        with open(join(tmp_dir, fname),'rb') as f:\n",
    "            key = os.path.splitext(fname)[0]\n",
    "            layouts[key] = pickle.load(f)\n",
    "           \n",
    "    return layouts \n",
    "\n",
    "def generate_layout_submodules(layouts):\n",
    "    #TODO: putting the whole cache into memory is dumb. need dynamic loading.\n",
    "    submods = {}\n",
    "    for key in layouts:\n",
    "        # create layout submodule\n",
    "        this_layout = layouts[key]\n",
    "        mod = ModuleType(key)\n",
    "        mod.__dict__.update({'layout':this_layout,\n",
    "                            'blades':this_layout.blades})\n",
    "        mod.__dict__.update(this_layout.blades)\n",
    "        submods[key]=mod\n",
    "    return submods\n",
    "\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Test"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "# first two lines only executed once, or whenever user makes changes to their algebra cache\n",
    "layouts = generate_layouts() \n",
    "write_layouts(layouts)\n",
    "\n",
    "# submods should be attached as requested, or all at once. \n",
    "layouts = read_layouts()\n",
    "submods = generate_layout_submodules(layouts)\n",
    "\n",
    "# attach all algebra instances to clifford , maybe we do this in __init__?\n",
    "import clifford as cf \n",
    "cf.__dict__.update(submods)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(1^e12)"
      ]
     },
     "execution_count": 33,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# this is nice. \n",
    "cf.g310.e12"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "locals().update(cf.g300.blades) # this is nice too\n",
    "\n",
    "M = e1 + e2 + e12 +e123"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "ename": "ImportError",
     "evalue": "No module named 'clifford.g300'",
     "output_type": "error",
     "traceback": [
      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[0;31mImportError\u001b[0m                               Traceback (most recent call last)",
      "\u001b[0;32m<ipython-input-35-873140b51196>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m()\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0;32mfrom\u001b[0m \u001b[0mclifford\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mg300\u001b[0m \u001b[0;32mimport\u001b[0m \u001b[0;34m*\u001b[0m  \u001b[0;31m# would be nice to have this work\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m",
      "\u001b[0;31mImportError\u001b[0m: No module named 'clifford.g300'"
     ]
    }
   ],
   "source": [
    "from clifford.g300 import *  # would be nice to have this work"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "anaconda-cloud": {},
  "kernelspec": {
   "display_name": "Python [default]",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.5.2"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}